Literature DB >> 33104999

The Proportion of Adult Americans at Risk of Severe COVID-19 Illness.

Hang Long Li1, Bernard M Y Cheung2,3.   

Abstract

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Year:  2020        PMID: 33104999      PMCID: PMC7586862          DOI: 10.1007/s11606-020-06325-9

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


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INTRODUCTION

The COVID-19 pandemic has affected more than 23 million people worldwide, including 5.6 million Americans. Because of these numbers, identifying the population(s) at risk is important. The US Centers for Disease Control and Prevention (CDC) announced on July 17, 2020, that conditions including obesity, diabetes mellitus (DM), chronic kidney disease (CKD), heart disease, and chronic obstructive pulmonary disease (COPD) are well-established risk factors predisposing individuals to severe illness from COVID-19.[1] Other probable risk factors with less robust evidence include asthma and hypertension. We aimed to estimate the proportion of adult Americans at risk from severe COVID-19 illness.

METHODS

In this analysis, participants in the United States National Health and Nutrition Examination Survey (NHANES) 2011–2016[2] aged ≥ 20 years were included. Pregnant participants and those with missing relevant laboratory/examination/self-reported data were excluded. The prevalence and 95% confidence intervals (95% CI) of established risk factors (obesity, DM, CKD, heart disease, and COPD), probable risk factors (asthma, stroke, hypertension, taking immunosuppressive agents, and liver disease), and any risk factors (established or probable risk factors) were calculated. Subgroups according to age (< 50 and ≥ 50 years), sex, ethnicity, education, and income level were compared. Data analysis was performed using the R statistical package “survey” (version 3.6.3).

RESULTS

Altogether, 7744 NHANES participants with a mean age of 49.5 years were included (Table 1). Overall, the prevalence of having ≥ 1 established, probable, or any risk factor were 58.9% (95% CI 56.7–61.0), 55.5% (95% CI 53.2–58.0), and 73.7% (95% CI 71.6–76.0), respectively (Table 2).
Table 1

Characteristics of the NHANES Participants Analyzed

OverallAge < 50 yearsAge ≥ 50 yearsP value
N774435904154
Age49.5 ± 0.435.1 ± 0.363.5 ± 0.2
Male49.4 (48.2–51.0)50.6 (49.0–52.0)48.3 (46.5–50.0)0.051
Ethnicity
  Non-Hispanic White67.2 (62.8–71.0)59.9 (54.8–65.0)74.2 (70.0–78.0)< 0.001
  Non-Hispanic Black10.3 (8.4–13.0)11.2 (9.0–14.0)9.5 (7.5–12.0)
  Mexican American8.3 (6.3–11.0)11.6 (9.0–15.0)5.1 (3.5–7.0)
  Other Hispanics6.0 (4.6–8.0)7.5 (5.8–10.0)4.5 (3.3–6.0)
  Non-Hispanic Asian5.4 (4.4–7.0)6.6 (5.4–8.0)4.2 (3.3–5.0)
  Other ethnicities2.9 (2.2–4.0)3.2 (2.5–4.0)2.6 (1.8–4.0)
Prevalence of established risk factors
 ≥ 1 established risk factor58.9 (56.7–61.0)47.9 (45.4–50.0)69.5 (66.5–72.0)< 0.001
  Obesity41.0 (38.9–43.0)38.9 (36.3–41.0)43.0 (40.1–46.0)0.016
  DM24.0 (22.4–26.0)11.7 (10.4–13.0)35.8 (33.7–38.0)< 0.001
  CKD18.4 (17.3–20.0)9.0 (8.2–10.0)27.6 (25.6–30.0)< 0.001
  Heart disease8.0 (7.2–9.0)1.8 (1.3–3.0)14.0 (12.6–15.0)< 0.001
  COPD7.6 (6.6–9.0)4.5 (3.6–6.0)10.6 (9.1–12.0)< 0.001
Prevalence of probable risk factors
 ≥ 1 probable risk factor55.5 (53.2–58.0)37.4 (34.7–40.0)73.1 (70.3–76.0)< 0.001
  Asthma8.9 (8.0–10.0)7.6 (6.5–9.0)10.2 (8.9–12.0)0.011
  Stroke3.6 (3.2–4.0)0.8 (0.5–1.0)6.4 (5.6–7.0)< 0.001
  Liver disease2.4 (2.1–3.0)1.8 (1.3–2.0)3.0 (2.4–4.0)0.022
  Hypertension50.1 (47.9–52.0)31.1 (28.8–34.0)68.4 (65.3–71.0)< 0.001
  Taking immunosuppressive agents2.5 (2.0–3.0)1.2 (0.8–2.0)3.6 (2.9–5.0)< 0.001
Prevalence of any risk factors
 ≥ 1 any risk factor73.7 (71.6–76.0)60.9 (58.2–63.0)86.2 (83.7–88.0)< 0.001
 ≥ 2 any risk factors46.6 (44.5–49.0)29.7 (27.5–32.0)62.9 (60.2–66.0)< 0.001
 ≥ 3 any risk factors26.2 (24.3–28.0)11.5 (10.0–13.0)40.5 (37.8–43.0)< 0.001

Data are presented as weighted mean ± standard error, or weighted percentage (95% confidence interval)

DM, diabetes mellitus; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease

P values for age group comparison were obtained by multivariate logistic regression, adjusted for sex and ethnicity, where appropriate, or by chi-square test, where appropriate

Obesity was defined as body mass index (BMI) ≥ 30 kg/m2

DM was defined as (1) answered “yes” to “(Other than during pregnancy), Have you ever been told by a doctor or other health professional that you have diabetes or sugar diabetes?” or (2) glycosylated hemoglobin ≥ 6.5%, or (3) fasting glucose ≥ 126 mg/dl

Heart disease was defined as answering “yes” to any of the questions below: (1) “Has a doctor or other health professional ever told you that you had congestive heart failure?” or (2) “Has a doctor or other health professional ever told you that you had coronary heart disease?” or (3) “Has a doctor or other health professional ever told you that you had a heart attack (also called myocardial infarction)?”

CKD was defined as (1) answering “yes” to “Have you ever been told by a doctor or other health professional that you had weak or failing kidney?” or (2) estimated glomerular filtration rate (eGFR) < 60 ml/min/1.73 m2 using the Chronic Kidney Disease Epidemiology Collaboration (CKD – EPI) equation, or (3) urine albumin – creatinine ratio ≥ 30 mg/g

COPD was defined as answering “yes” to either of the questions below: (1) “Has a doctor or other health professional ever told you that you had emphysema?” or (2) “Has a doctor or other health professional ever told you that you had chronic bronchitis?”

Asthma was defined as answering “yes” to both of the questions below: (1) “Has a doctor or other health professional ever told you that you have asthma?” and (2) “Do you still have asthma?”

Stroke was defined as answering “yes” to the question “Has a doctor or other health professional ever told you that you have asthma?”

Liver disease was defined as answering “yes” to both of the questions below: (1) “Has a doctor or other health professional ever told you that you had any kind of liver condition?” and (2) “Do you still have a liver condition?”

Hypertension was defined as (1) having at least three of the blood pressure measurements on the day of examination as ≥ 130 mmHg for systolic measurement or ≥ 80 mmHg for diastolic measurement, or (2) answering “yes” to “Have you ever been told by a doctor or other health professional that you had hypertension, also called high blood pressure?”

Table 2

Prevalence of ≥ 1 Established and Any Risk Factor According to Ethnicity, Education Level, and Income level

≥ 1 established risk factor≥ 1 any risk factorP value
Sex
  Male (referent)56.8 (54.3–59.0)74.5 (71.0–77.0)
  Female60.8 (58.2–63.0)0.05572.9 (70.7–75.0)0.019
Ethnicity
  Non-Hispanic White (referent)58.0 (55.3–61.0)74.0 (71.2–77.0)
  Non-Hispanic Black68.7 (65.7–72.0)< 0.00182.7 (80.3–85.0)< 0.001
  Mexican American64.9 (60.4–69.0)< 0.00173.1 (69.2–77.0)0.355
  Other Hispanics57.9 (53.1–62.0)0.41268.9 (63.6–74.0)0.534
  Non-Hispanic Asian39.5 (35.3–44.0)< 0.00156.6 (52.4–61.0)< 0.001
  Other ethnicities64.5 (56.0–72.0)0.08779.4 (70.5–86.0)0.036
Education level
  Low67.1 (64.6–70.0)0.32481.1 (78.4–83.0)0.977
  Middle (referent)63.2 (61.0–65.0)77.2 (75.4–79.0)
  High46.9 (43.3–51.0)< 0.00163.7 (59.8–67.0)< 0.001
Income level
  Low65.2 (62.6–68.0)< 0.00176.9 (74.3–79.0)< 0.001
  Low middle64.3 (60.3–68.0)< 0.00178.8 (75.7–82.0)0.002
  High middle62.9 (59.0–57.0)0.00275.1 (71.4–78.0)0.144
  High (referent)52.9 (49.8–56.0)70.5 (67.1–74.0)

Data are presented as weighted percentage (95% confidence interval)

P values were obtained by multivariate logistic regression, adjusted for age, sex, ethnicity, education level, and income level, where appropriate

Education level was classified as low (less than a high school degree), middle (high school graduate/GED or some college/AA degree), or high (college graduate or above)

Income level was classified as low (poverty income ratio (PIR) < 1.3), low middle (PIR ≥ 1.3 and < 1.85), high middle (PIR ≥ 1.85 and < 3), or high (PIR ≥ 3)

Characteristics of the NHANES Participants Analyzed Data are presented as weighted mean ± standard error, or weighted percentage (95% confidence interval) DM, diabetes mellitus; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease P values for age group comparison were obtained by multivariate logistic regression, adjusted for sex and ethnicity, where appropriate, or by chi-square test, where appropriate Obesity was defined as body mass index (BMI) ≥ 30 kg/m2 DM was defined as (1) answered “yes” to “(Other than during pregnancy), Have you ever been told by a doctor or other health professional that you have diabetes or sugar diabetes?” or (2) glycosylated hemoglobin ≥ 6.5%, or (3) fasting glucose ≥ 126 mg/dl Heart disease was defined as answering “yes” to any of the questions below: (1) “Has a doctor or other health professional ever told you that you had congestive heart failure?” or (2) “Has a doctor or other health professional ever told you that you had coronary heart disease?” or (3) “Has a doctor or other health professional ever told you that you had a heart attack (also called myocardial infarction)?” CKD was defined as (1) answering “yes” to “Have you ever been told by a doctor or other health professional that you had weak or failing kidney?” or (2) estimated glomerular filtration rate (eGFR) < 60 ml/min/1.73 m2 using the Chronic Kidney Disease Epidemiology Collaboration (CKD – EPI) equation, or (3) urine albumin – creatinine ratio ≥ 30 mg/g COPD was defined as answering “yes” to either of the questions below: (1) “Has a doctor or other health professional ever told you that you had emphysema?” or (2) “Has a doctor or other health professional ever told you that you had chronic bronchitis?” Asthma was defined as answering “yes” to both of the questions below: (1) “Has a doctor or other health professional ever told you that you have asthma?” and (2) “Do you still have asthma?” Stroke was defined as answering “yes” to the question “Has a doctor or other health professional ever told you that you have asthma?” Liver disease was defined as answering “yes” to both of the questions below: (1) “Has a doctor or other health professional ever told you that you had any kind of liver condition?” and (2) “Do you still have a liver condition?” Hypertension was defined as (1) having at least three of the blood pressure measurements on the day of examination as ≥ 130 mmHg for systolic measurement or ≥ 80 mmHg for diastolic measurement, or (2) answering “yes” to “Have you ever been told by a doctor or other health professional that you had hypertension, also called high blood pressure?” Prevalence of ≥ 1 Established and Any Risk Factor According to Ethnicity, Education Level, and Income level Data are presented as weighted percentage (95% confidence interval) P values were obtained by multivariate logistic regression, adjusted for age, sex, ethnicity, education level, and income level, where appropriate Education level was classified as low (less than a high school degree), middle (high school graduate/GED or some college/AA degree), or high (college graduate or above) Income level was classified as low (poverty income ratio (PIR) < 1.3), low middle (PIR ≥ 1.3 and < 1.85), high middle (PIR ≥ 1.85 and < 3), or high (PIR ≥ 3) Obesity was the most common established risk factor (41.0%), followed by DM (24.0%) and CKD (18.4%). Hypertension was the most common probable risk factor (50.1%), followed by asthma (8.9%) and stroke (3.6%). Obesity and hypertension were consistently the leading risk factors in both age groups: the prevalence of obesity and hypertension in the younger age group were 38.9% and 31.1%, respectively, whereas in the older age group, 43.0% and 68.4% had obesity and hypertension, respectively. Older participants were more likely to have ≥ 1 any risk factor; 86.2% of people aged ≥ 50 years had ≥ 1 any risk factor, compared to 60.9% in people aged < 50 years (P < 0.001). Whereas obesity was almost equally common in the young and the old, DM, CKD, heart disease, COPD, stroke, and hypertension were all much more common in people aged 50 years or older. There were minor differences in the percentage of people with ≥ 1 established and ≥ 1 any risk factor according to sex, ethnicity, education, and income level, but the percentages remained around 60% and 75%, respectively. Non-Hispanic Asian appeared to have a lower risk.

DISCUSSION

This is the first study to estimate the proportion of the Americans in the general population at risk from severe COVID-19 illness using data from a nationally representative survey. Alarmingly, three-quarters of adult Americans are at risk. COVID-19 is a threat to people across all age groups, sexes, ethnicities, education, and income levels. Consequently, the three-quarters of adult Americans at risk should stay at home as much as possible during a pandemic. They should observe strict social distancing and personal hygiene measures, such as face covering and hand disinfection.[3] They should have priority access to masks, viral tests, treatment facilities, drugs, and vaccines.[4] Our study shows that obesity and hypertension are the leading risk factors for severe COVID-19 illness, especially in those aged < 50 years. Those at risk should seriously consider lifestyle modifications, including weight control, healthy diet, alcohol moderation, smoking cessation, and regular physical activity. These can also alleviate other risk factors including DM, CKD, and asthma, and help reduce the adverse psychological consequences of social distancing.[5] A limitation of NHANES is the reliance on self-reported medical history that might cause underestimation of risk factors. Moreover, we have not included cancer as it is highly heterogeneous, or less common conditions such as sickle cell anemia and post-transplant immunodeficiency. In conclusion, an alarming three-quarters of Americans are at increased risk of severe COVID-19 illness. Obesity and hypertension are the leading risk factors. Individuals with increased risk should strictly follow social distancing and personal hygiene measures and adopt lifestyle modifications.
  1 in total

1.  Is hypertension associated with arthritis? The United States national health and nutrition examination survey 1999-2018.

Authors:  Xiaopeng Liang; Oscar Hou In Chou; Ching Lung Cheung; Bernard M Y Cheung
Journal:  Ann Med       Date:  2022-12       Impact factor: 5.348

  1 in total

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